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Published on: February 22, 2013
Hemodynamic evaluation of symptomatic and asymptomatic intracranial atherosclerotic stenosis using cerebral
Jiayan Li1, Lijun Wang1, Yongxin Zhang1
1Neurovascular Center, Changhai Hospital, Shanghai, China.
Insights
Fractional flow (FF) assessed via non-invasive intracranial angiography (Angio-FF) can differentiate symptomatic and asymptomatic intracranial atherosclerotic stenosis (ICAS). Lower Angio-FF values indicate a higher risk of ischemic events in ICAS patients.
Area of Science:
- Neurology
- Cardiovascular Research
- Medical Imaging
Background:
- Intracranial atherosclerotic stenosis (ICAS) treatment decisions based solely on stenosis degree may be inadequate.
- Novel non-invasive fractional flow (FF) calculation technique using intracranial angiography (Angio-FF) developed to assess ICAS hemodynamics.
- Need for improved risk stratification in ICAS patients.
Purpose of the Study:
- Investigate the difference in Angio-FF between symptomatic and asymptomatic ICAS patients.
- Determine the optimal Angio-FF threshold for differentiating symptomatic from asymptomatic ICAS.
- Evaluate Angio-FF's potential in predicting clinical symptoms and ischemic events.
Main Methods:
- Recruited 124 patients with severe ICAS undergoing cerebral angiography.
- Divided patients into symptomatic (n=78) and asymptomatic (n=46) groups based on symptom onset.
- Collected and compared Angio-FF values; performed ROC analysis to assess discriminative ability.
Main Results:
- Symptomatic ICAS group showed significantly lower Angio-FF (0.75) compared to asymptomatic group (0.85).
- Optimal Angio-FF cut-off value for distinguishing symptomatic from asymptomatic ICAS was 0.785.
- The cut-off achieved 71.74% sensitivity and 57.69% specificity.
Conclusions:
- Angio-FF <0.7853 may indicate increased susceptibility to intracranial ischemic events.
- Angio-FF of 0.7853 serves as a potential threshold for identifying clinical symptoms in ICAS patients.
- Angio-FF offers a valuable non-invasive hemodynamic assessment for ICAS risk stratification.
Background:
Previous studies suggest that it may be inappropriate to determine treatment strategies solely based on the degree of stenosis for patients with intracranial atherosclerotic stenosis (ICAS). In order to better risk stratify patients with ICAS, we developed a novel non-invasive fractional flow (FF) calculation technique based on intracranial angiography (Angio-FF) to assess the hemodynamics for patients with ICAS. This study aims to investigate the difference in FF between symptomatic and asymptomatic patients with ICAS and its potential optimal threshold.
Methods:
A total of 124 patients with ICAS with severe intracranial stenosis who had undergone cerebral angiography were recruited. According to the time of onset, the patients were divided into a symptomatic ICAS group (n=78) and an asymptomatic ICAS group (n=46). The Angio-FF of each group was collected and compared. Receiver-operating characteristic curve (ROC) analysis was performed to assess the discriminative ability of Angio-FF to predict hemodynamics for ICAS.
Results:
Compared with the asymptomatic ICAS group, the symptomatic ICAS group had a significantly lower Angio-FF (0.75 (0.66-0.85) vs 0.85 (0.77-0.89), P<0.001). The optimal cut-off value of Angio-FF for distinguishing symptomatic ICAS from asymptomatic ICAS was 0.785 (sensitivity 71.74%, specificity 57.69%).
Conclusions:
Patients with Angio-FF <0.7853 may be more prone to intracranial ischemic events. Angio-FF of 0.7853 can serve as a boundary for whether patients with ICAS exhibit clinical symptoms.
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